Text Classification
Transformers
Safetensors
Abkhaz
camembert
fill-mask
code
text-embeddings-inference
Instructions to use williamC21/camembert-base-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use williamC21/camembert-base-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="williamC21/camembert-base-test")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("williamC21/camembert-base-test") model = AutoModelForMaskedLM.from_pretrained("williamC21/camembert-base-test") - Notebooks
- Google Colab
- Kaggle
Update README.md
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library_name: transformers
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license: apache-2.0
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tags:
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library_name: transformers
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license: apache-2.0
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datasets:
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- nohurry/Opus-4.6-Reasoning-3000x-filtered
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language:
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- ab
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base_model:
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- Qwen/Qwen3.5-35B-A3B
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new_version: Qwen/Qwen3.5-35B-A3B
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pipeline_tag: text-classification
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tags:
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- code
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---
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license: apache-2.0
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tags:
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